Data Specialist

You will be responsible for managing, analyzing, and maintaining operational and business data to support informed decision-making across the site. This role develops and maintains reports, dashboards, and data models while ensuring data accuracy, integrity, and accessibility. You will work closely with operational, technical, and administrative teams to identify reporting needs, improve data quality, and provide insights that drive operational performance and continuous improvement. You will ensure that the goals and objectives are achieved while promoting and respecting Agnico Eagle’s values, Health & Safety Code of Conduct and the environment. 

• Work closely with Data Analysts, Data Engineers, and mining domain experts to understand their data needs and deliver suitable solutions Design optimized data models from various data sources to meet business needs; 

• Design, create, and manage datasets and databases to meet the data needs of the organization; 

• Develop, construct, test, and maintain data architectures and processing systems; 

• Develop and implement processes for data acquisition, ingestion, and extraction from varying data structured, unstructured, time-series sources; 

• Build ELT (Extract, Load, Transform) pipelines to facilitate the flow of data from various sources to the data lakehouse or other destinations; 

• Provide technical review and feedback to the data analysts and junior data engineers; 

• Perform and support data modeling and prepare data for analytics and business intelligence (BI) applications; 

• Implement data quality checks and validations to ensure the accuracy and reliability of data; 

• Implement data security measures, ensuring compliance with company cybersecurity requirements and best practices; 

• Optimize data retrieval and cloud computing resources to support the high-performance data visualization applications to improve system performance and usability; 

• Provide technical expertise and support related to data engineering to different teams within the organization; 

• Stay updated with the latest industry trends and technologies to improve data engineering processes and systems; 

• All other ad hoc duties as requested. 

• A Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or  equivalent Data Engineering training and experience a related field is required; 

• 5+ years’ related work experience; 

• Proficiency in languages and software frameworks commonly used in data manipulation and analysis, such as Python, R or Scala is essential; 

• Knowledge of SQL and NoSQL databases, and the ability to create and manage large and complex data lakehouse systems; 

• Familiarity with data lakehouse solutions and ELT (Extract, Load, Transform) tools within the Microsoft and Azure ecosystem; 

• Experience with big data processing frameworks like Apache Spark; 

• Proficiency in using cloud services such as AWS, Google Cloud, or Microsoft Azure for data processing and storage; 

• The ability to design, build, and maintain efficient, scalable, and reliable data pipelines; 

• Skills in data modeling and structuring unstructured data for analysis; 

• The capacity to solve complex problems, particularly in debugging and improving data systems; 

• Ability to work effectively in a team and communicate complex data concepts to non-technical stakeholders; 

• Willingness to keep up-to-date with the latest trends and advancements in the field of data engineering; 

• Experience with Agile development methodologies (DevOps, Scrum, DataOps); 

• Demonstrated knowledge on Data Cloud infrastructure environments available within the Microsoft Azure suite (Synapse, Databricks, Event Hubs and Azure Data Factory). 

Your Work Schedule:

• Schedule: 4/3 schedule at our Macassa Mine in Kirkland Lake, ON.